Cell Size Controls Photosynthetic Capacity in a Mesoamerican and an Andean Genotype of Phaseolus vulgaris L.
Egesa, A. O.; Vallejos, C. E.; Begcy, K.
Show abstract
The efficiency of CO2 flux in the leaf is hindered by a several structural and biochemical barriers which affect the overall net photosynthesis. However, the dearth of information about the genetic control of these features is limiting our ability for genetic manipulation. We performed a comparative analysis between a Mesoamerican and an Andean cultivar of Phaseolus vulgaris at variable light and CO2 levels. The Mesoamerican bean had higher photosynthetic rate, maximum rate of rubisco carboxylase activity and maximum rate of photosynthetic electron transport at light saturation conditions than its Andean counterpart. Leaf anatomy comparison between genotypes showed that the Mesoamerican bean had smaller cell sizes than the Andean bean. Smaller epidermal cells in the Mesoamerican bean resulted in higher stomata density and consequently higher stomatal conductance for water vapor and CO2 than in the Andean bean. Likewise, smaller palisade and spongy mesophyll cells in the Mesoamerican than in the Andean bean increased the cell surface area per unit of volume and consequently increased mesophyll conductance. Finally, smaller cells in the Mesoamerican also increased chlorophyll and protein concentration per unit of leaf area. In summary, we show that differential cell size controls the overall net photosynthesis and could be used as a target for genetic manipulation to improve photosynthesis. HighlightPhotosyntheUc performance comparison between a Mesoamerican and an Andean bean genotype showed higher rate at increased light and CO2 levels. Differences could be explained by variaUon in cell size.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Smart Film Impacts Stomatal Sensitivity of Greenhouse Capsicum Through Altered Light 98%
- Bulb growth potential is independent of leaf longevity for the spring ephemeral Erythronium americanum Ker-Gawl. 97%
- Intrinsic water use efficiency depends on stomatal aperture rather than stomatal density in C3 and C4 grasses grown at glacial CO2 and low light 97%
Similar papers in this journal
- Effects of atmospheric CO2 concentration on transpiration and leaf elongation responses to drought in wheat, perennial ryegrass and tall fescue 96%
- A continental-scale analysis reveals the latitudinal gradient of stomatal density across amphistomatous species: Evolutionary history vs. present-day environment 94%
- Elevated CO2, Warming and Drought Differentially Impact Reproductive and Vegetative Economic Traits in Two Grassland Species 94%
Similar papers in this journal
- The impact of stomatal kinetics on diurnal photosynthesis and water use efficiency under fluctuating light 98%
- Altered cell wall hydroxycinnamate composition impacts leaf and canopy-level CO2-uptake and water-use in rice 97%
- Increased sedoheptulose-1,7-bisphosphatase content in the C4 species Setaria viridis does not affect photosynthesis 96%
Similar papers in this journal
- Blue Light Sonata: Dynamic variation of red:blue ratio during the photoperiod differentially affects leaf photosynthesis, pigments, and growth in lettuce 96%
- Stem canker caused by Phomopsis spp. induces changes in polyamine levels and chlorophyll fluorescence parameters in pecan leaves 95%
- Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield 94%
Similar papers in this journal
- Monitoring of drought stress and transpiration rate using proximal thermal and hyperspectral imaging in an indoor automated plant phenotyping platform 95%
- A non-destructive approach for measuring rice panicle-level photosynthetic responses using 3D-image reconstruction 95%
- Two-fold Red Excess (TREx): A simple and novel digital color index that enables non-invasive real-time health assessment of green-leaved as well as anthocyanin-rich crops 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.